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Record W4292823699 · doi:10.1016/j.wss.2022.100103

Reshaping wellbeing in changing care and paid work environments

2022· article· en· W4292823699 on OpenAlexafffundabout
Allison Williams

Bibliographic record

VenueWellbeing Space and Society · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsCare workUnpaid workSituatedScope (computer science)Work (physics)Government (linguistics)Psychological interventionPublic relationsSociologyPolitical scienceEconomic growthNursingMedicineEconomics

Abstract

fetched live from OpenAlex

This introductory paper offers insights into the importance of care work for wellbeing, introducing key themes evident in this special issue that span the theoretical and empirical boundaries of care and paid work for wellbeing. The focus is predominately on caring for adults, whether dependent adult children, spouses, or elderly family members/friends. These key themes, which span both time and space, are as follows: scaled relations of care work for the production of wellbeing; roles, power and influence of intersectional identities on the wellbeing of carer-employees, and; employment interventions to support opportunities for care and wellbeing. In totality, these three themes point to a common question: how can care responsibilities be more equally shared? Addressing this question is complex since care work spans multiple scales, from family units through to country-specific collective norms, and across international policy. It also begs the question of how to best sustain the four primary groups of supports implicated in care work, including: unpaid carers, such as family, friends, and neighbours; community supports and services provided by non-profits and the voluntary sector; state/government supports, such as paid leaves or employment insurance for carers, and; employers of unpaid carers. The geographical scope of the papers contained in the special issue span from international country comparisons of unpaid care work, through to transnational experiences across two or more countries, through to case studies situated in two of Canada's largest provinces. Building on the three key themes, strategies are proposed to inform the development of sustainable care systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.311
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2022
Admission routes3
Has abstractyes

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